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Name (Pinyin):zhenzhen

School/Department:林学院

Education Level:With Certificate of Graduation for Doctorate Study

Contact Information:电话:(+86) 18745687693 邮箱:zhenzhen@nefu.edu.cn zhzhen2011@gmail.com

Degree:Doctoral Degree in Agriculture

Status:Employed

Discipline:
Forest Management

Honors and Titles:
2025-07 elected:2025年7月 东北林业大学2024~2025年度优秀本科生导师奖
2024年10月 东北林业大学2023~2024年度优秀本科生导师奖
2023年11月 获得2023年东北林业大学青年教师教学竞赛(农林组)二等奖
2023年04月 第十届“共享杯”大学生科技资源共享服务创新大赛优秀指导教师奖
2023年08月 东北林业大学2022~2023年度优秀本科生导师奖
2023年07月 指导本科生参加“挑战杯”黑龙江省大学生课外学术科技作品大赛荣获三等奖
2022年10月 东北林业大学2021~2022年度优秀本科生导师奖
2021年09月 东北林业大学2020~2021年度教学质量二等奖
2021年05月 指导本科生参加美国大学生数学建模大赛(ICM)获得一等奖(M奖)
2020年10月 东北林业大学2019~2020年度教学质量二等奖
2019年12月 东北林业大学林学院2019年度本科课程建设优秀奖
2018年06月 第七届梁希青年论文奖三等奖
2017年10月 东北林区主要树种(组)林木及林分动态预测技术,黑龙江省科学技术奖,二等奖(第8完成人),黑龙江省人民政府
2017年04月 东北林区主要树种(组)基础模型系统的研究,梁希林业科学技术奖,二等奖(第6完成人),国家林业局,中国林学会
2016年12月 GIScience & Remote Sensing杂志最佳审稿人
2016年09月 第六届梁希青年论文奖三等奖
2015年12月 第三届“共享杯”大学生科技资源共享服务创新大赛优秀指导教师奖
2015年09月 东北林业大学2014~2015年度教学质量二等奖
2014年09月 第五届梁希青年论文奖二等奖

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Natural forests show stronger carbon sink resistance to extreme drought than plantations in Northeast China

Date:2026-05-23 clicks:

Impact Factor:5.7

DOI number:10.1016/j.agrformet.2026.111266

Affiliation of Author(s):东北林业大学

Journal:Agricultural and Forest Meteorology(Q1)

Place of Publication:荷兰(阿姆斯特丹)

Key Words:Natural forests; Plantations; Carbon sink; Extreme drought; Resistance; Northeast China

Abstract:Despite China’s expanding planted forest area, the climate resilience and long-term carbon sink stability of these ecosystems relative to natural forests remain poorly understood under intensifying climate change. Using remote sensing and meteorological data (2000–2022), we systematically assessed spatiotemporal dynamics, climatic sensitivity, drought resistance, and stability of carbon sinks in planted versus natural forests across Northeast China. Forest net ecosystem productivity (NEP) in Northeast China has increased over the past 20 years, but the rate of increase differs significantly between planted and natural forests. Planted forests show a larger NEP gain than natural forests in the Daxing’an (DM, planted: 4.38 g C m−2 yr−1; natural: 4.42 g C m−2 yr−1) and Xiaoxing’an (XM, planted: 5.67 g C m−2 yr−1; natural: 5.03 g C m−2 yr−1) Mountains, while natural forests exhibit a greater increase in the Changbai Mountains (CM, planted: 1.63 g C m−2 yr−1; natural: 2.16 g C m−2 yr−1). Mean NEP is higher in planted forests within DM (natural: 410 g C m−2, planted: 413 g C m−2) and XM (natural: 420 g C m−2, planted: 427 g C m−2), whereas the opposite is true for CM (natural: 527 g C m−2, planted: 523 g C m−2), which exhibits a higher overall NEP. Drought resistance and resilience patterns vary regionally between forest types. Natural forests in drier regions (DM, XM) resist extreme drought better but are less resilient to mild drought than plantations. In the wetter CM region, plantations show greater resistance overall. Recovery after drought is also region-specific. Stability analyses further confirm these regional differences. We highlight the need for optimized management to enhance planted forests' carbon sink stability, informed by these precipitation-linked patterns.

Co-author:Xinran Huang,Zhen Zhen,Wenxin Zhao

First Author:Yifan Ding

Indexed by:Journal paper

Correspondence Author:Xiaochun Wang*

Document Code:111266

Discipline:Agriculture

Document Type:J

Volume:387

Page Number:111266

ISSN No.:0168-1923(印刷版)/ 1873-2240(电子版)

Translation or Not:no

Date of Publication:2026-01-01

Included Journals:SCI

Pre One:ForSOC-UA: A Novel Framework for Forest Soil Organic Carbon Estimation and Uncertainty Assessment with Multi-Source Data and Spatial Modeling Next One:Switcher-HNet: A switchable hierarchical network for tree species classiffcation from forest stand to individual tree tasks